Papers
3
Total Citations
92
H-Index
3
About
Chan-Mo Park is a robotics researcher whose work centers on human-robot interaction, haptic teleoperation, and shared autonomy systems for mobile robots. His research addresses one of the fundamental challenges in remote robotics: enabling operators to control mobile platforms effectively while delegating low-level obstacle avoidance to onboard controllers. By integrating haptic feedback through a probe manipulandum, Park developed an intuitive interface allowing operators to designate desired speed and turning rate while the robot autonomously handles close-range hazard detection using onboard sensors. His most influential contribution, "Haptic Teleoperation of a Mobile Robot: A User Study" (2005), has garnered 69 citations and remains a key reference in the teleoperation literature, demonstrating through rigorous user studies how haptic feedback meaningfully enhances operator performance and situational awareness. His earlier works from 2003 and 2004 laid the experimental and theoretical groundwork for these findings, progressively refining the shared autonomy framework and evaluating its effects on telepresence quality and navigational outcomes. Park's research has had lasting relevance for fields including search-and-rescue robotics, remote exploration, and assistive technology, where intuitive human-machine interfaces are critical to operational success.
Research Focus
Key Achievements
Top Papers
- 1Haptic Teleoperation of a Mobile Robot: A User Study69 citations · 2005
- 2Effects of Haptic Feedback on Telepresence and Navigational Performance13 citations · 2004
- 3Haptic control of a mobile robot: a user study10 citations · 2003